Lexicon-based Sentiment Analysis of Tweets on Food Delivery Services
Authors: C. Rajeshkumar, K. Ruba Soundar, M. Vargheese, G. Nallasivan, S. Arun
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Abstract: People often check online reviews before deciding on a product, restaurant, movie, hotel, itinerary, etc. Therefore, sentiment or opinion analysis is often required for practical use. Information gathered through Tweets is helpful for getting opinions on many issues, and Twitter is the most popular platform among various resources. Therefore, in this work, a sentiment analysis approach is used to collect data from participants.
Keywords: Sentiment Analysis, Food Delivery Companies, Swiggy, Zomato, Twitter, Lexicon-based Analysis
Paper Id: 230082
Published On: 2023-04-30
Published In: Volume 11, Issue 2, March-April 2023
Cite This: Lexicon-based Sentiment Analysis of Tweets on Food Delivery Services - C. Rajeshkumar, K. Ruba Soundar, M. Vargheese, G. Nallasivan, S. Arun - IJIRMPS Volume 11, Issue 2, March-April 2023.